MetaLlama 3.2 3B Instruct on NVIDIA GeForce RTX 4060 Ti 16GB
Yes — RTX 4060 Ti 16GB runs Llama 3.2 3B Instruct excellently at Q8_0 — 75 tok/s. 16 GB VRAM with plenty of headroom.
Model Size
3.21B
Device VRAM
16 GB
Bandwidth
288 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.2 3B Instruct on NVIDIA GeForce RTX 4060 Ti 16GB at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 75 tok/s | 60ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
Q8_0 fits with 12GB headroom. 288 GB/s bandwidth delivers fast 3B inference.
About Llama 3.2 3B Instruct
Llama 3.2 3B Instruct (3.21B) is a chat, coding, ai coding, reasoning model. Ultra-lightweight model that runs on virtually any GPU. Surprisingly capable for its size: good at summarization, simple coding tasks, and quick chat. The default choice when speed matters more than depth.
View all Llama 3.2 3B Instruct hardware options →About NVIDIA GeForce RTX 4060 Ti 16GB
NVIDIA GeForce RTX 4060 Ti 16GB has 16 GB at 288 GB/s. Street price: $449.
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Estimate method: Performance estimates based on model size and device bandwidth. Reference hardware source: github.com (2026-03-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.